{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "bfc090d4",
   "metadata": {},
   "source": [
    "#### Sellmeier_control_stage.vi 实验测试\n",
    "data was measured at 2025.7.17 in measured.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "36411fb9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "已保存为 processed.csv\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 读取CSV文件并去除列名中的空格\n",
    "data = pd.read_csv('measured.csv')\n",
    "data.columns = data.columns.str.strip()  # 去除列名中的空格\n",
    "\n",
    "# 提取数据列\n",
    "cor_angle = data['cor_angle']\n",
    "signal_wavalength = data['signal_wavalength']\n",
    "idler_power = data['idler_power']\n",
    "SHG_power = data['SHG_power']\n",
    "\n",
    "# 绘制SHG功率与角度的关系图\n",
    "# plt.figure(figsize=(10, 6))\n",
    "# plt.plot(data['signal_wavalength'], data['cor_angle'], marker='o', linestyle='-', color='r', label=r'Corrected angle ($^{\\circ}$)')\n",
    "# plt.xlabel('Signal wavelength (nm)')\n",
    "# plt.ylabel(r'Corrected angle ($^{\\circ}$)')\n",
    "# plt.title('Signal wavelength vs Cor Angle')\n",
    "# plt.legend()\n",
    "# plt.grid(True, alpha=0.3)\n",
    "# plt.show()\n",
    "\n",
    "# 保存带有processed列的新CSV文件\n",
    "data.to_csv('processed.csv', index=False)\n",
    "print('已保存为 processed.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3cf5694a",
   "metadata": {},
   "source": [
    "#### sellmeier eq\n",
    "then process the signal wavelength, then plus the cor_angle to get the SHG angle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0d8df0f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def no(lam): ## in um units\n",
    "    no = np.sqrt(1+(0.90291*lam**2/(lam**2-0.003926))+(0.83155*lam**2/(lam**2-0.018786))+(0.76536*lam**2/(lam**2-60.01)))\n",
    "    return no\n",
    "def ne(lam):## in um units\n",
    "    ne = np.sqrt(1+(1.151075*lam**2/(lam**2-0.007142))+(0.21803*lam**2/(lam**2-0.02259))+(0.656*lam**2/(lam**2-263)))\n",
    "    return ne\n",
    "def opo532(w):  # w, as signal wavelength in um\n",
    "    w_idler = 1/(1/0.532 - 1/w)  # now w is idler wavelength\n",
    "    return w_idler\n",
    "def theta(w): # w, as fundamental wavelength in um\n",
    "    w2 = w/2 # shg\n",
    "    theta = np.arcsin(np.sqrt((ne(w2)/no(w))**2 * (no(w2)**2 - no(w)**2) / (no(w2)**2 - ne(w2)**2)))\n",
    "    return theta * 180 / np.pi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b09b8ee7",
   "metadata": {},
   "outputs": [],
   "source": [
    "idler_wavelength = opo532(signal_wavalength / 1000)*1000  # Convert nm to um for calculation\n",
    "calculated_angles = theta(idler_wavelength / 1000)\n",
    "actual_angles = calculated_angles + cor_angle\n",
    "data['calculated_angle'] = calculated_angles\n",
    "data['idler_wavelength'] = idler_wavelength\n",
    "data['shg_wavelength'] = idler_wavelength / 2\n",
    "data['actual_angle'] = actual_angles\n",
    "data.to_csv('processed.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "08806f91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置字体为Times New Roman\n",
    "plt.rcParams['font.family'] = 'Times New Roman'\n",
    "plt.rcParams['font.size'] = 12\n",
    "\n",
    "# 绘制\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(signal_wavalength, calculated_angles-20, marker='o', linestyle='-', color='red', label='Calculated angles')\n",
    "plt.plot(signal_wavalength, cor_angle+calculated_angles-90, marker='o', linestyle='-', color='green', label='Actural angles')\n",
    "plt.plot(signal_wavalength, cor_angle-70, marker='o', linestyle='-', color='blue', label='Cor angles')\n",
    "\n",
    "plt.xlabel('Signal wavelength (nm)', fontfamily='Times New Roman')\n",
    "plt.ylabel(r'SHG_angle ($^{\\circ}$)', fontfamily='Times New Roman')\n",
    "plt.title('Signal wavelength vs SHG Angle', fontfamily='Times New Roman')\n",
    "plt.legend()\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae56ca6f",
   "metadata": {},
   "source": [
    "#### 拿Sellmeier方程效果不好啊...准备直接用实验数据拟合 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f42cbd7f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "多项式表达式:             3             2\n",
      "-1.329e-07 x + 0.0003948 x - 0.3764 x + 66.38\n"
     ]
    }
   ],
   "source": [
    "coefficients = np.polyfit(signal_wavalength, calculated_angles-70, 3)\n",
    "poly_func = np.poly1d(coefficients)\n",
    "\n",
    "print(\"多项式表达式:\", poly_func)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "544366a0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
